FabioMurgese's Stars
openai/CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
academic/awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
HarisIqbal88/PlotNeuralNet
Latex code for making neural networks diagrams
dennybritz/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Sinaptik-AI/pandas-ai
Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.
aimacode/aima-python
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
rust-ml/linfa
A Rust machine learning framework.
youssefHosni/Data-Science-Interview-Questions-Answers
Curated list of data science interview questions and answers
nerdyrodent/VQGAN-CLIP
Just playing with getting VQGAN+CLIP running locally, rather than having to use colab.
shervinea/mit-15-003-data-science-tools
Study guides for MIT's 15.003 Data Science Tools
Lightning-Universe/lightning-bolts
Toolbox of models, callbacks, and datasets for AI/ML researchers.
hystax/optscale
FinOps, MLOps and cloud cost optimization tool. Supports AWS, Azure, GCP, Alibaba Cloud and Kubernetes.
rinongal/StyleGAN-nada
Hannah-Sten/TeXiFy-IDEA
LaTeX support for the IntelliJ platform by JetBrains.
microsoft/FocalNet
[NeurIPS 2022] Official code for "Focal Modulation Networks"
shervinea/stanford-cme-106-probability-and-statistics
VIP cheatsheets for Stanford's CME 106 Probability and Statistics for Engineers
gordicaleksa/get-started-with-JAX
The purpose of this repo is to make it easy to get started with JAX, Flax, and Haiku. It contains my "Machine Learning with JAX" series of tutorials (YouTube videos and Jupyter Notebooks) as well as the content I found useful while learning about the JAX ecosystem.
khipu-ai/practicals-2019
Practical notebooks for Khipu 2019, held in Universidad de la República in Montevideo.
john-science/mazelib
A Python library for creating and solving mazes.
mlberkeley/Creative-Adversarial-Networks
(WIP) Implementation of Creative Adversarial Networks https://arxiv.org/pdf/1706.07068.pdf
ahmedbesbes/whales-classification
My solution to the Global Data Science Challenge
dmeoli/optiml
Optimizers for/and sklearn compatible Machine Learning models
GabrielePisciotta/RestrictedBoltzmannMachine
Simple RBM used as feature extractor for classification purposes
GabrielePisciotta/AmongAIs
Among AIs is a (prototype of) PC Game we developed as part of the Smart Applications course @ University of Pisa.
antodima/complex-systems-from-scratch
Implementation of Complex Systems Models from scratch